Most Down Articles

    Published in last 1 year| In last 2 years| In last 3 years| All| Most Downloaded in Recent Month | Most Downloaded in Recent Year|

    Published in last 1 year
    Please wait a minute...
    For Selected: Toggle Thumbnails
    Trends in global major disease burden and health conditions—interpretation of the Global Burden of Disease Study 1990-2021
    FAN Bonan, LI Yan
    Journal of Diagnostics Concepts & Practice    2024, 23 (05): 474-483.   DOI: 10.16150/j.1671-2870.2024.05.003
    Abstract3071)   HTML91)    PDF(pc) (3009KB)(5303)       Save

    The Global Burden of Disease Study 2021 (GBD 2021) analyzed 371 diseases and injuries using 100,983 data sources, estimating years lived with disability, years of life lost, disability-adjusted life years, and healthy life expectancy. From 1990 to 2019, the annual rate of change in global all-cause mortality ranged from -0.9% to 2.4%, while deaths increased by 10.8% and 7.5% in 2020 and 2021 respectively due to COVID-19. In 2021, COVID-19 was the second lea-ding cause of death globally, with a mortality rate of 94.0 per 100 000. The mortality rates of other major causes, such as ischemic heart disease and stroke were 108.7 and 87.4 per 100 000, respectively. Global life expectancy rose from 65.5 years in 1990 to 73.3 years in 2019 but dropped to 71.7 years in 2021 due to COVID-19, which reduced life expectancy by 2.2 years, significantly impacting the trend of health improvement. In China, GBD 2021 data shows a significant increase in life expectancy from 1990 to 2021: from 69.9 to 80.7 years for women and from 65.7 to 74.9 years for men. However, non-communicable diseases such as cardiovascular diseases, cancers, and chronic respiratory diseases remain major health threats. In 2021, these diseases had the highest burden among the top ten causes in China, with rising incidence and morta-lity rates. Major health risk factors in China include tobacco, hypertension, and dietary risks. This paper, through the systematic analysis of GBD 2021 data, reveals current trends in disease burden globally and in China, and proposes public health strategy recommendations. China should enhance chronic disease management, improve public health emergency responses, address health inequalities, and promote basic research and international cooperation to improve overall health levels.

    Table and Figures | Reference | Related Articles | Metrics | Comments0
    A Short-Term Carbon Emission Accounting Method for Power Industry Using Electricity Data Based on a Combined Model of CNN and LightGBM
    ZENG Jincan, HE Gengsheng, LI Yaowang, DU Ershun, ZHANG Ning, ZHU Haojun
    Journal of Shanghai Jiao Tong University    2025, 59 (6): 746-757.   DOI: 10.16183/j.cnki.jsjtu.2023.382
    Abstract2191)   HTML8)    PDF(pc) (6089KB)(3238)       Save

    The electric power industry plays a pivotal role in carbon emission control. Accurate and real-time accounting of carbon emissions in the power industry is essential for supporting the carbon reduction of the power industry. At present, the measurement of carbon emissions in the power industry relies mainly on direct measurement or the accounting methods, which often struggles to balance low measurement costs with real-time accuracy. Therefore, in this paper, the robust power data infrastructure in the power industry is leveraged and the correlation between electricity consumption and carbon emissions is explored to propose a short-term electricity-to-carbon method using machine learning methods based on historical data of electricity. This method utilizes convolutional neural networks (CNNs) for feature extraction, and light gradient boosting machine (LightGBM) for carbon emission estimation based on extracted features. Moreover, K-fold cross-validation is used in model training, with parameter optimization using grid search to enhance the generalization capability and robustness of the model. To validate the proposed method, it is compared with other machine learning models under the same data segmentation condition for daily and hourly data sets. The results indicate that the proposed model outperforms other models in both performance evaluation and the consistency between estimated and target values.

    Table and Figures | Reference | Related Articles | Metrics | Comments0
    Transient Modeling and Characteristic Comparative Analysis of Grid-Forming VSC with and Without Current Control
    REN Xiancheng, LI Shangzhi, LI Yingbiao, HU Jiabing, XU Taishan, BAO Yanhong, WU Feng
    Journal of Shanghai Jiao Tong University    2025, 59 (7): 971-982.   DOI: 10.16183/j.cnki.jsjtu.2023.416
    Abstract1278)   HTML4)    PDF(pc) (2357KB)(2403)       Save

    As the support capacity of renewable energy generation equipment for the power grid needs enhancement, grid-forming control has attracted extensive attention, among which the virtual synchronous generator (VSG) has emerged as a key research frontier and is already being applied in engineering demonstration. Voltage source converter (VSC) with VSG as the synchronization link can be classified into voltage and current dual loop control and direct voltage control according to whether there is a current control loop in the structure. The difference in the two control structures has a significant impact on the transient characteristics of VSC. To study the difference between transient characteristics of two kinds of VSCs, the transient models are developed based on the “power excitation-internal voltage response” model, and the formation mechanism of internal voltage and transient characteristics are comparatively analyzed. Since the VSG simulates the operation characteristics of the synchronous machine, the equivalent inertia and equivalent damping of the VSC are analytically obtained at the electromechanical scale, and their transient behaviors are compared. It is found that the equivalent inertia and damping of a VSC with direct voltage control remain constant, while those of a VSC with voltage and current dual loop control exhibit time-varying characteristics and are numerically smaller than of the direct voltage control system. Finally, the validity of the theoretical analysis is confirmed by electromagnetic transient simulation.

    Table and Figures | Reference | Related Articles | Metrics | Comments0
    Research Progress of Resin Matrix Composites for Air Defense Missiles
    CHEN Xue, ZHU Longyu, XUE Qinyang, WANG Kexiang, HAN Zhilin, LUO Chuyang
    Air & Space Defense    2024, 7 (6): 76-95.  
    Abstract1843)      PDF(pc) (3146KB)(2234)       Save
    Lightweight design is a dominant development trend in advanced air defense missile systems. Resin matrix composites, with the advantages of being lightweight, high strength, high-temperature resistant, corrosion-resistant, and designable, play a key role in promoting the lightweight design of missiles. This paper has reviewed the research progress and current applications of thermoset and thermoplastic composites in air defense missiles. It comprehensively provides an overview of the application progress and development prospects of resin matrix composites in typical missile components, offering insights into the future development of these materials.
    Related Articles | Metrics | Comments0
    New Perspective on Translation Quality Assessment in Translation Teaching: An Industry Assessment Model
    CHENG Shuang, ZHANG Yushuang
    Contemporary Foreign Languages Studies    2024, 24 (5): 45-56.   DOI: 10.3969/j.issn.1674-8921.2024.05.005
    Abstract296)   HTML4)    PDF(pc) (1540KB)(2123)       Save
    Table and Figures | Reference | Related Articles | Metrics | Comments0
    Conspiracy of Narrative and Theory: The Implicit Non-narrative Process in Nabokov’s Novels
    ZHANG Qiong
    Contemporary Foreign Languages Studies    2024, 24 (6): 147-157.   DOI: 10.3969/j.issn.1674-8921.2024.06.013
    Abstract221)   HTML1)    PDF(pc) (1615KB)(1987)       Save

    In his novels, Nabokov employs variations, alternative texts, symbols and metaphors to stimulate diverse thinking. By intertextuality and parodying classics, he breaks through the enclosed semantic field, with hidden narrative, discourse and plots constructing compound meanings. In parallel with the plot and resonate with each other. They differ from the explicit juxtaposed clues, fragmented subtexts, and the“implied author”affecting readers. Instead, it is more appropriate to refer them as “processes.” In narrative interspersed with commentary, the narration and commentary are independent and corresponding to each other only in fragments. However, Nabokov’s implicit non-narrative processes are embedded within the plot, latent in the form of story props, structural elements, line content, voiceovers, developing with the narrative and jointly contributing to the achievement of the creative theme.

    Reference | Related Articles | Metrics | Comments0
    Cascade Sliding Mode Decoupling Control of Coupled Inductor Single-Input Dual-Output Buck Converter Based on Super-Twisting Extend State Observer
    HUANG JinFeng, ZHANG Qian
    Journal of Shanghai Jiao Tong University    2025, 59 (5): 592-604.   DOI: 10.16183/j.cnki.jsjtu.2023.349
    Abstract1500)   HTML2)    PDF(pc) (4220KB)(1963)       Save

    To address the coupling effect between the output branches of the coupled inductor single-input dual-output (CI-SIDO) Buck converter, which leads to the cross-influence and thus affects the dynamic performance of the system, a cascaded sliding mode decoupling control strategy based on the super-twisting extend state observer (ST-ESO) is proposed. First, a state-space averaging model of the CI-SIDO Buck converter is established. Then, the coupling terms, internal perturbations, and unmodeled parts in the inner and outer loops of the converter are estimated by using the ST-ESO with a fast-convergence property, which are regarded as the total perturbations in the inner and outer loops. Next, the total perturbation in the inner and outer loops is compensated by using a super-twisting sliding mode controller to achieve the decoupling of the system and ensure the robustness of the system and the stability of the output voltage. Furthermore, the stability of the super-twisting extend state observer and super-twisting sliding mode controller is analyzed using the Lyapunov theory, providing theoretical verification of the feasibility of the control strategy. Finally, the proposed control strategy is experimentally validated on the experimental platform. The results show that the proposed control strategy realizes the decoupling of the system, suppresses the cross-influence and improves the dynamic performance of the system.

    Table and Figures | Reference | Related Articles | Metrics | Comments0
    Online Steady-State Scheduling of New Power Systems Based on Hierarchical Reinforcement Learning
    ZHAO Yingying, QIU Yue, ZHU Tianchen, LI Fan, SU Yun, TAI Zhenying, SUN Qingyun, FAN Hang
    Journal of Shanghai Jiao Tong University    2025, 59 (3): 400-412.   DOI: 10.16183/j.cnki.jsjtu.2023.344
    Abstract1680)   HTML8)    PDF(pc) (4192KB)(1953)       Save

    With the construction of new power systems, the stochasticity of high-proportion renewable energy significantly increases the uncertainty in the operation of the power grid, posing severe challenges to its safe, stable, and economically efficient operation. Data-driven artificial intelligence methods, such as deep reinforcement learning, are becoming increasingly important for regulating and assisting decision-making in the power grid in the new power system. However, current online scheduling algorithms based on deep reinforcement learning still face challenges in modeling the high-dimensional decision space and optimizing scheduling strategies, resulting in low model search efficiency and slow convergence. Therefore, a novel online steady-state scheduling method is proposed for the new power system based on hierarchical reinforcement learning, which reduces the decision space by adaptively selecting key nodes for adjustment. In addition, a state context-aware module based on gated recurrent units is introduced to model the high-dimensional environmental state, and a model with the optimization objectives of comprehensive operating costs, energy consumption, and over-limit conditions is constructed considering various operational constraints. The effectiveness of the proposed algorithm is thoroughly validated through experiments on three standard test cases, including IEEE-118, L2RPN-WCCI-2022, and SG-126.

    Table and Figures | Reference | Related Articles | Metrics | Comments0
    Interpretation of 2024 American Diabetes Association’s Standards of Care in Diabetes — diabetes diagnosis and classification
    LI Yanbing
    Journal of Diagnostics Concepts & Practice    2024, 23 (05): 467-473.   DOI: 10.16150/j.1671-2870.2024.05.002
    Abstract975)   HTML24)    PDF(pc) (932KB)(1922)       Save

    Diabetes is a common chronic disease, which has caused a significant health and economic burden worldwide. Diabetes is highly heterogeneous. Accurate diagnosis and classification are the premises to achieve standardized and accurate treatment of diabetes and improve the clinical outcomes of patients. Recently, the American Diabetes Association (ADA) issued the 2024 Standards of Medical Care in Diabetes. In the chapter on diabetes diagnosis and classification, the latest developments have been taken into account, with recommended approaches for the differential diagnosis of atypical diabetes, screening, diagnosis, and follow-up processes of different types of diabetes. This article interprets this section of the guidelines to provide a reference for healthcare professionals in the endocrine field in China for the accurate diagnosis, classification, and individualized treatment of diabetes.

    Table and Figures | Reference | Related Articles | Metrics | Comments0
    The Inter-disciplinarity of International and Regional Studies: With Views on the Integration of Disciplines of Foreign Languages and World History
    LI La, WANG Yuming
    Contemporary Foreign Languages Studies    2025, 25 (1): 191-201.   DOI: 10.3969/j.issn.1674-8921.2025.01.018
    Abstract293)   HTML1)    PDF(pc) (1425KB)(1829)       Save

    On September 14th, 2022, the Academic Degrees Committee of the State Council and the Ministry of Education issued the Catalogue of Graduate Education Subjects and Specialties (2022) and the Management Measures of the Catalogue of Graduate Education Subjects and Specialties, which officially declared International and Regional Studies to be established as a first-tier discipline under the category of interdisciplinary disciplines. It proves the necessity of integrating this discipline with other related disciplines. The interdisciplinary and multidisciplinary nature of area studies is mainly embodied in its definition and disciplinary distribution of the researchers involved, which can be concluded by sorting out the definitions made by different scholars at home and abroad, and analyzing the distribution of overseas research disciplines in the projects supported by the National Social Science Fund and the distribution of the humanities and social science projects funded by the Ministry of Education. According to the results, it can also be fourd that two disciplines of Foreign Languages and World History make major contributions to International and Regional Studies. Languages serve as indispensable tools, while the discipline of World History uses languages to study the history of various countries and regions in depth. Thus, it will be highly beneficial for the development of International and Regional studies to combine Foreign Languages Discipline with the discipline of World History through multiple degrees conferring, faculty sharing and building academic communities.

    Table and Figures | Reference | Related Articles | Metrics | Comments0
    Reactive Power-Voltage Droop Gain Online Tuning Method of Photovoltaic Inverters for Improvement of Stable Output Power Capability in Weak Grids
    WANG Yuyang, ZHANG Chen, ZHANG Yu, WANG Yiming, XU Po, CAI Xu
    Journal of Shanghai Jiao Tong University    2025, 59 (6): 845-856.   DOI: 10.16183/j.cnki.jsjtu.2023.353
    Abstract1852)   HTML4)    PDF(pc) (7800KB)(1746)       Save

    The active power output capability and small signal stability in weak grids are key factors that limit stable photovoltaic (PV) power generation. To improve stably generating PV power in weak grids, an adaptive control method for PV inverters based on online tuning of the reactive power-voltage (Q-V) droop gain is proposed. First, to ensure active power output capability in weak grids, a “first optimization” method for the Q-V droop gain is proposed, considering voltage and current constraints. Then, to address stability constraints in weak grids, impedance modeling and stability analysis of the PV inverter system are conducted. A mapping relationship between the “parameter-weakest pole” is established with the weakest pole of the closed-loop system as a stability constraint based on the artificial neural network. A “second adjustment” method for the Q-V droop gain is developed at stably generating active power. Combined with the extended Kalman-filter-based grid impedance estimation, the proposed Q-V droop gain adaptive tuning method is realized. The effectiveness of the proposed adaptive control method is validated on the Modeling Tech real-time simulation platform.

    Table and Figures | Reference | Supplementary Material | Related Articles | Metrics | Comments0
    Research Progress in Antioxidation of Refractory High Entropy Alloys at High Temperatures
    CHEN Qiang, ZHU Jinwei, ZHAO Yuchen, LIU Wei, ZHANG Xiaobin, WU Yuan, LIU Xiongjun, WANG Hui, LYU Zhaoping
    Air & Space Defense    2024, 7 (6): 96-103.  
    Abstract1343)      PDF(pc) (1140KB)(1692)       Save
    High entropy alloys have been newly developed in recent years, among which the refractory high entropy alloys obtain excellent high-temperature mechanical properties, thus showing great potential application as structural materials at ultra-high temperatures. However, their low oxidation resistance at high temperatures limits the practical engineering applications. The conventional way to enhance oxidation resistance is alloying elements such as Al, Cr, Si and so on, but the additional amount is usually restricted by other factors, which greatly limits the oxidation resistance performance. The multi-component characteristics of high-entropy alloys allow them to be more likely to alloy more oxidation resistance-promoting elements. In this paper, the recent progress in improving the oxidation resistance of high-entropy alloys was reviewed. The approaches to improve the oxidation resistance of refractory high-entropy alloys were prospected via adding Al, Cr and Si elements and the formation of antioxidant coatings.
    Related Articles | Metrics | Comments0
    A Review of the Subtitle Translation of the Documentary Harmony Between Humanity and Nature Based on the Principles of Truth, Virtue and Beauty
    CUI Fengjuan, XIE Lin
    Contemporary Foreign Languages Studies    2024, 24 (6): 79-88.   DOI: 10.3969/j.issn.1674-8921.2024.06.007
    Abstract616)   HTML2)    PDF(pc) (1699KB)(1612)       Save

    Knowledge-centered translatology posits that translation is a process of globalization of local knowledge, which centers around knowledge construction. Subtitle translation of documentaries exemplifies this interaction and transfer between local and global knowledge. Guided by the principles of truth, virtue and beauty, this paper examines the subtitle translation of the documentary Harmony Between Humanity and Nature and explores the inherent mechanisms of subtitle translation in this work. By analyzing representative cases, we find that some translations of the documentary’s subtitles adhere to the principles of truth, virtue and beauty. Therefore, these translations convey authentic meanings, take into consideration the target audience, and meet the aesthetic standards of the target language. However, others do not follow these principles, which hinders the documentary’s international reach.

    Table and Figures | Reference | Related Articles | Metrics | Comments0
    Overview of the Development of Flexible Ocean CTD Sensors
    LI Jihao1, LIN Guanying2, WANG Nuansheng3, LI Yang3, LI Junyang1
    Ocean Engineering Equipment and Technology    2024, 11 (3): 69-77.   DOI: 10.12087/oeet.2095-7297.2024.03.11
    Abstract510)      PDF(pc) (5779KB)(1601)       Save
    Marine hydrological information plays a significant role in development and exploration of marine resources. Temperature, salinity and depth are fundamental elements of marine hydrology. Monitoring of marine temperature, salinity and depth data plays an important role in the development and utilization of marine resources. The conductivity temperature depth profiler (CTD) is the main instrument for observing seawater temperature and salinity profiles. By using CTD sensors, parameters such as temperature and conductivity of seawater at different depths can be measured. In recent years, flexible electronic sensors have demonstrated great potential for application due to their excellent stretchability and easy attachment, which not only achieve the sensing performance of traditional rigid sensors to a certain extent, but also compensate for the shortcomings of traditional sensors such as large volume and weight. This review introduces the research progress of flexible ocean CTD sensors in recent years, mainly including the working mechanism and classification, common materials, manufacturing processes of flexible sensors, and analyzes the structure, performance, and application platform of existing flexible ocean CTD sensors. Finally, the development of flexible ocean CTD sensors is prospected.
    Related Articles | Metrics | Comments0
    Deep Learning and Knowledge Infusion:An Inquiry into Path Construction for a Translation-Technology Teaching Model
    DAI Guangrong, SHEN Siyi, HUANG Dongliang
    Contemporary Foreign Languages Studies    2025, 25 (1): 125-138.   DOI: 10.3969/j.issn.1674-8921.2025.01.012
    Abstract365)   HTML4)    PDF(pc) (1420KB)(1577)       Save

    In the era of Language Intelligence, translation pedagogy ushers into a more diverse and complex landscape, knowledge within this system broadens deeper than ever, but students’ learning didn’t go to depth with the development of technology. The shallow learning-based education model is no longer suitable for the current translation pedagogy and its knowledge translation production and spreading. This paper aims to explore innovative pathways to address the predicament in talent cultivation. With Transknowletology as its core, this paper elucidates the concept, content and scope of deep learning and puts forward the model for translation technology education combined with deep learning and knowledge system. Lastly, this paper attempts to construct an efficient and scientific path of enhancing translation technological thinking skills, in a bid to enhance the knowledge translation development and acceptance.

    Table and Figures | Reference | Related Articles | Metrics | Comments0
    The Impact of Artificial Intelligence on the Ecological Niche of Foreign Language Teaching from the Perspective of Foreign Language Pedagogy
    ZHUO Ling
    Contemporary Foreign Languages Studies    2024, 24 (5): 103-115.   DOI: 10.3969/j.issn.1674-8921.2024.05.010
    Abstract594)   HTML7)    PDF(pc) (1353KB)(1558)       Save

    With the rapid development of artificial intelligence (AI) technology, its application in foreign language education has become increasingly prevalent, thereby influencing the ecological niche of foreign language teaching. The study aims to explore the potential of artificial intelligence (AI) in improving language learning efficiency, personalized teaching and cross-cultural communication ability by analyzing the current application and outcomes of AI in language learning, so as to explore the application of AI technology in foreign language education and its impact on the ecological niche of foreign language teaching. Based on the survey data of 165 randomly selected non-English majors at a university, it shows that artificial intelligence technology can not only effectively improve the quality of teaching in foreign language education, but also reconstruct the ecological niche of foreign language teaching, improve teaching efficiency and learning effect, thereby fostering the intelligent development of the ecological niche for foreign language learners.

    Table and Figures | Reference | Related Articles | Metrics | Comments0
    Diagnosis and treatment of vascular anomalies in the era of precision medicine
    YANG Xiaonan, ZHANG Ye
    Journal of Tissue Engineering and Reconstructive Surgery    2024, 20 (6): 599-.  
    Abstract166)      PDF(pc) (1038KB)(1512)       Save
    Vascular anomalies are classified into hemangiomas and vascular malformations, representing a group of diseases that include (but not limited to) more than 30 types of hemangiomas, over 60 types of vascular malformations, and more than 20 syndromes related to vascular anomalies. Deepening understanding and improving diagnosis and treatment have always been the focus and difficulty in clinical work. With the continuous advancement of medical science and technology, the diagnosis and treatment of vascular anomalies are rapidly entering a new medical era-the era of precision medicine. Precision medicine relies
    on in-depth research of molecular mechanisms, advanced diagnostic technologies, personalized treatment plans and multidisciplinary diagnosis and treatment mode, and its clinical expansion and promotion in clinical practice have brought revolutionary changes to the diagnosis and treatment of vascular anomalies. In this paper, the progress and future development
    direction of the diagnosis and treatment of vascular anomalies in the era of precision medicine were reviewed.
    Related Articles | Metrics | Comments0
    On the Dialectics of Constructing the Theory of Transknowletology
    LIU Junping
    Contemporary Foreign Languages Studies    2025, 25 (1): 96-111.   DOI: 10.3969/j.issn.1674-8921.2025.01.010
    Abstract457)   HTML8)    PDF(pc) (1285KB)(1481)       Save

    Professor Yang Feng, the founder of Transknowletology, put forward the proposition that “The fusion of knowledge in science, sociology and humanities will solve the puzzle and problem of classification anxiety for the translation discipline for the time to come. Translatology armed with the knowledge of natural sciences, social sciences and humanities will inevitably become a meta discipline or supra subject”(Yang Feng 2021:2). Proceeding from the insightful statement, we can observe that Transknowletology intends to integrate the resources and refine its key concepts and reformulate its epistemic framework from the above three disciplines based on complex system to construct the meta-knowledge of translatology. Thus, Transknowletology as general translatology will necessarily touch upon the knowledge and ideas of translatology, philosophy, sociology, cognition, hermeneutics. Through analysis and synthesis, construction and refining, it will become a meta-discipline for translation studies embodying both the logical facts and ethic values.If it intends to reach such a goal, Transknowletology must include epistemic concepts, paradigms and epistemic reintegration and reclassification on its road map so as to reformulate its model. On the epistemic structure, it should proceed from the onotology, methodology and teleology of epistemology, attach importance to the dialectics of methodology, integrate East-West epistemology,reorganize the internal and external knowledge of translatology, give weight to humanistic, aesthetic and ethic knowledge. Thus formulated, it will depart from the binary separation of knowledge to the existential and life world experiences. Consequently, it will lessen the tensions between the scientific rationality and humanistic reason. Based on the “ method of harmonious balance of Transknowletology ” and the logic of dialogue, the newly formed branch of learning will perfect its methodology of restructuring its knowledge base and will eventually deal with the ultimate concern of “what is a translator” so as to actualize the “Epistemic Turn” in contemporary Translation Studies.

    Reference | Related Articles | Metrics | Comments0
    Research Progress in Power Materials and Technology for Aerospace
    SHANG Yanxin, QU Wenjie, REN Xuening, LU Hongbo, DU Wei, LI Li, WU Feng, CHEN Renjie
    Air & Space Defense    2024, 7 (6): 12-28.  
    Abstract1558)      PDF(pc) (4146KB)(1399)       Save
    The aerospace power subsystem, known as its “energy heart”, is responsible for key tasks such as efficient storage and accurate conversion of electrical energy. Its operational stability affects the smooth operation and overall effectiveness of each subsystem of the spacecraft. The increasing complexity of space missions and the intensification of extreme space environments have led to the need for continuous technological innovation and performance upgrades of power systems. Based on this, in this study, the materials and technologies development trends of solar cells, chemical batteries and other devices were reviewed domestically and abroad from the perspective of extreme environments, including radiation, alternating temperatures and high vacuum. Besides, the key challenges of power devices in the extreme aerospace environment were analyzed, and the potential aerospace mission application prospects were envisioned. This review provides a reference and inspiration for promoting the research and development of advanced aerospace power materials.
    Related Articles | Metrics | Comments0
    A Review of Equivalent Model-Based State of Charge Estimation Algorithms of Lithium-Ion Battery
    TANG Diyin, WANG Yufu, ZHENG Wenjian, HUANG Xucong, XING Yalan
    Air & Space Defense    2024, 7 (6): 104-111.  
    Abstract2080)      PDF(pc) (1086KB)(1372)       Save
    Due to their high energy density and long life, Lithium-ion batteries are widely applied in fields such as aerospace and smart driving. Accurate estimation of the state of charge (SOC) of a battery is critical. In recent years, SOC estimation methods based on battery equivalent models have been widely used because oftheir advantages of accurate estimation and easy understanding. This paper has elaborated on the classification of battery equivalent models, SOC estimation algorithms, and factors affecting SOC estimation from three aspects. Firstly, the common types of battery models and their characteristics were analyzed; secondly, the commonly used SOC estimation techniques based on battery models were reviewed; finally, the factors affecting the accuracy of SOC estimation and possible solutions were analyzed. The summary of this paper provides references for future research.
    Related Articles | Metrics | Comments0
    On Fang Mengzhi’s Trichotomy Approach of “One Divided into Three” in his Translation Studies: With a Discussion on the Hot Topics and Trends of Translation Studies in China 2019—2023
    ZENG Ping, FAN Wuqiu
    Contemporary Foreign Languages Studies    2024, 24 (5): 57-68.   DOI: 10.3969/j.issn.1674-8921.2024.05.006
    Abstract378)   HTML7)    PDF(pc) (1217KB)(1366)       Save

    Fang Mengzhi is a renowned and respected scholar in translation studies, especially for his dedicated and outstanding contributions to the development of discipline system, academic system and discourse system of Pragmatic Translation Studies in China. Throughout his translation studies and practices, the trichotomy approach of “One Divided into Three” is prominently adopted. This paper reveals the origin, connotation and value of this enlightening approach from both vertical and horizontal research dimensions, and makes a quantitative analysis of the research hotspots and trends of domestic translation studies in the past five years (2019—2023) to verify the forward-looking guidance and vitality of Prof. Fang’s translation thoughts.

    Table and Figures | Reference | Related Articles | Metrics | Comments0
    U.S. Army NIFC-CA Kill Chain System Simulation Design and Evaluation
    JIANG Ruiqi, XU Jinlong, NI Hanqi, SHI Xingyu, ZHANG Wei, HE Zishu
    Air & Space Defense    2024, 7 (5): 82-89.  
    Abstract625)      PDF(pc) (1074KB)(1351)       Save
    Given the problems of the difficulty in multi-platform kill chain simulation, unclear kill assessment indexes, and the lack of close integration with the actual scenarios, the practical implementation of the kill chain in combat situation simulations was studied using the U.S. Army's NIFC-CA kill chain. Firstly, the characteristic information of target nodes was designed, and customized reconnaissance node effectiveness evaluation indexes were designed for E-2D AWACS, F-35 fighter jets and Aegis ship platforms in the NIFC-CA kill chain. It associated the NIFC-CA kill chain with the reconnaissance nodes and also connected the reconnaissance node effectiveness evaluation indexes with the target node information, and evaluated the level of the reconnaissance node's effectiveness in the detection of different targets. Secondly, the influence nodes were introduced to characterize the interference of the reconnaissance node in the combat scenario and the anti-interference effectiveness level of the reconnaissance node itself. Then, the target node, influence node, and reconnaissance node were correlated using a state transfer matrix, and the reconnaissance node, command node, and strike node were correlated using dependency analysis of the Functional Dependency Network Analysis (FDNA), giving the quantitative value of the overall killing capability of different killing chains. Finally, the simulation design of the kill chain model was carried out in the form of an adjacency table.
    Related Articles | Metrics | Comments0
    Human-Machine Collaborative Intelligent Writings: Its Evolution and Implications
    LI Jingjie, CHEN Qiuyan
    Contemporary Foreign Languages Studies    2025, 25 (1): 73-83.   DOI: 10.3969/j.issn.1674-8921.2025.01.008
    Abstract777)   HTML18)    PDF(pc) (1263KB)(1318)       Save

    Artificially intelligent writing has become an irreversible trend. This article, from the perspective of human-machine collaboration, provides an assessment and comparison of artificial intelligence writing systems in three stages: the emergence stage of AI writing, the stage of diversified exploration, and the stage of comprehensive development. It analyzes the characteristics and development trends of human-machine collaboration in intelligent writing systems at different stages. Building upon this analysis, it discusses the progress, issues, and implications of human-machine collaborative intelligent writing systems in academic English writing and teaching in terms of the integration of writing assistance and revision assistance, dialogue-based interaction, comprehensive coverage of the writing process, and Man-Computer symbiosis.

    Reference | Related Articles | Metrics | Comments0
    Foreign Language Teaching and Professional Development of Foreign Language Teachers in the Era of AI: Challenges, Identity Tensions and Solutions
    XU Yueting, GU Yue
    Contemporary Foreign Languages Studies    2025, 25 (1): 60-72.   DOI: 10.3969/j.issn.1674-8921.2025.01.007
    Abstract1040)   HTML10)    PDF(pc) (1301KB)(1309)       Save

    Artificial intelligence (AI) represented by ChatGPT can not only promote learners to learn foreign languages but also improve teachers’ work efficiency and reduce their work burden. However, the educational revolution triggered by ChatGPT brings challenges to foreign language teaching and results in identity tensions to foreign language teachers. By reviewing research on the application of AI in the field of foreign language teaching and language teacher identity, this paper analyses challenges of foreign language teaching and teachers, identity tensions and solutions, and puts forward corresponding suggestions from three aspects, including teachers, schools, and government. This paper not only provides theoretical support and practical guidance for the implementation of AI-assisted teaching in the field of foreign language education but also has enlightenment for other subjects in dealing with teacher identity tensions and exploring the path of deep integration of AI and education.

    Reference | Related Articles | Metrics | Comments0
    Reconstruction of Ship Propeller Wake Field Based on Physics-Informed Neural Networks
    HOU Xianrui, ZHOU Xingyu, HUANG Xiaocheng
    Journal of Shanghai Jiao Tong University    2024, 58 (11): 1654-1664.   DOI: 10.16183/j.cnki.jsjtu.2023.101
    Abstract902)   HTML18)    PDF(pc) (18611KB)(1279)       Save

    Physics-informed neural networks (PINN) are applied to the reconstruction of the ship propeller wake field. First, the principle and basic framework of PINN were introduced. Then, the Burgers equation was selected to verify the feasibility of PINN in solving partial differential equations. After that, the propeller of KVLCC2 in open water is simulated using computational fluid dynamics (CFD) software STAR CCM+, and the flow field information of the KVLCC2 propeller is obtained. Based on the simulated flow field information data, the training sample set was constructed to train PINN. The trained PINN was used to infer the approximate solution of the governing equation at any time and space. Finally, the velocity and pressure distribution obtained by PINN were compared with the velocity and pressure distribution simulated by STAR CCM+. The results validate the reliability of PINN in propeller wake field reconstruction, which can be concluded that PINN can be applied to the reconstruction of the ship propeller wake field.

    Table and Figures | Reference | Related Articles | Metrics | Comments0
    Fatigue Strength Analysis of Ship’s Welded Structures Based on Method of Notch Stress
    ZHEN Chunbo, LIU Shihao, ZHANG Aifeng, XING Shizhu, ZHANG Runze
    Journal of Shanghai Jiao Tong University    2025, 59 (4): 458-465.   DOI: 10.16183/j.cnki.jsjtu.2023.307
    Abstract1383)   HTML6)    PDF(pc) (8884KB)(1278)       Save

    To address the fatigue strength problem of ship structures, the notch stress method is applied to typical structural joints focusing on weld toe and weld root. First, the basic principles of notch stress method and the notch fatigue analysis process of ship structure are introduced. Then, six typical joint types are set up for the double bottom structure of a product oil tanker. The local notch stress analysis of the fatigue hot spot is conducted using the finite element sub-modeling technology, allowing the determination of the notch stress concentration factor at the weld toe and weld root. Finally, based on the harmonised common structural rules (HCSR), the fatigue load and load condition of the ship structure are calculated, and the fatigue analysis of six typical joint types is performed. The results show that under the same load conditions, the notch stress concentration factor at the weld toe of each hot spot is smaller than that at the weld root, and the joint type 3 has the lowest fatigue damage value among the joint types, which suggests this type can improve the fatigue resistance of the hull.

    Table and Figures | Reference | Related Articles | Metrics | Comments0
    A Fault Diagnosis Method for Wind Turbines Based on Zero-Shot Learning
    PAN Meiqi, HE Xing
    Journal of Shanghai Jiao Tong University    2025, 59 (5): 561-568.   DOI: 10.16183/j.cnki.jsjtu.2023.375
    Abstract1796)   HTML13)    PDF(pc) (1123KB)(1270)       Save

    In engineering practice, wind turbine fault diagnosis encounters situations where the fault category in the training data is different from the actual one. To diagnose unknown wind turbine faults, it is necessary to transfer the fault feature information learned during training to the unknown fault category. Unlike traditional methods that directly establish mapping between fault samples and fault categories, a zero-shot learning (ZSL) method for wind turbine fault diagnosis based on fault attributes is proposed to enable fault feature migration. A fault attribute matrix is established by describing the attributes of each fault, which is embedded into the fault sample space and fault category space. Then, a fault attribute learner is developed based on convolutional neural network (CNN), and a fault classifier is established based on Euclidean distance, forming the diagnosis process where fault attributes are predicted from fault samples and then classified. Finally, the effectiveness and superiority of the proposed fault diagnosis method are validated by comparing it with other zero-shot learning methods.

    Table and Figures | Reference | Related Articles | Metrics | Comments0

    Research progress of 3D adipose tissue model

    ZHU Congxiao, YIN Ningbei
    Journal of Tissue Engineering and Reconstructive Surgery    2024, 20 (5): 562-.  
    Abstract244)      PDF(pc) (975KB)(1201)       Save
    As the largest endocrine organ and the main energy storage system in the human body, adipose tissue plays a pivotal role in regulating energy homeostasis. Pathological conditions such as insulin resistance, chronic inflammation and mitochondrial dysfunction are closely related to adipose metabolic disorders. In vitro models are significant tools for studying the mechanism of associated disorders. At present, three-dimensional culture is a common model for in vitro adipose tissue research because it can imitate the process of adipose metabolism to a certain extent. In order to serve as a resource for future scientific investigations, an overview of three-dimensional adipose tissue models and their properties was provided in this paper.
    Related Articles | Metrics | Comments0
    Modeling of Cloud-Edge Collaborated Electricity Market Considering Flexible Ramping Products Provided by VPPs
    PENG Chaoyi, CHEN Wenzhe, XU Suyue, LI Jianshe, ZHOU Huafeng, GU Huijie, NIE Yongquan, SUN Haishun
    Journal of Shanghai Jiao Tong University    2025, 59 (2): 186-199.   DOI: 10.16183/j.cnki.jsjtu.2023.240
    Abstract491)   HTML6)    PDF(pc) (3279KB)(1150)       Save

    Due to its load time shifting and power regulation capabilities, virtual power plants (VPPs) have the potential to participate in the electricity market and provide flexible ramping products (FRPs). However, it is hard for VPPs to make accurate bidding in the market, due to the uncertainty of their dispatching capability and system requirements. Therefore, a cloud-edge collaborated market architecture supporting VPPs participation in the electricity market and providing FRPs services is proposed, and the corresponding distributed optimization trading model is established. The market clearing process is completed through the collaborative interaction between the independent system operator and VPPs, which can accurately guide VPPs to optimize the electricity consumption and provide flexible climbing services. The distributed optimization model is iteratively solved using the analytical target cascading (ATC) method, and heuristic constraints are introduced to improve the convergence of the algorithm. Finally, the proposed method is evaluated by the simulation results of typical cases featuring the “duck-curve” net load, which demonstrate that the cloud-edge collaborated market can effectively reduce operating costs and promote the consumption of renewable energy.

    Table and Figures | Reference | Supplementary Material | Related Articles | Metrics | Comments0
    Progress Review and Technical Conception on the Digital Mission Engineering Research for Kill-Chain System-of-Systems
    WANG Weiping, CHEN Lu, WANG Junmin, LI Xiaobo, ZHU Zhi
    Air & Space Defense    2024, 7 (5): 8-17.  
    Abstract486)      PDF(pc) (1355KB)(1148)       Save
    Digital mission engineering (DME) is an advanced approach in the digital era. Based on the long-term research accumulations in Unmanned intelligent system-of-systems (SoS) design optimization, weaponry SoS modeling and simulation and digital decision engineering for strategic management, this paper has studied and explored the origin and progress of foreign military DME research, fusingwith recent domestic research practices in SoS engineering and SoS simulations. Finally, a technical conception of DME research methodsfor kill chain SoS from two aspects was proposed: overall requirement architecture and simulation deduction technology.
    Related Articles | Metrics | Comments0
    Current Development Status and Practice Dimensions of Model-Based Systems Engineering
    GU Zhichao, TAO Zhenji, FENG Nanhao, JIANG Haibo, CAI Binni
    Air & Space Defense    2024, 7 (5): 28-35.  
    Abstract337)      PDF(pc) (1166KB)(1143)       Save
    The inconsistencies and inadequacies of traceability in conventional systems engineering facing complexity have prompted the search for alternative methodologies. Model-Based Systems Engineering (MBSE) has been proposed as a promising solution, gaining widespread recognition in academia and industry. Leveraging mathematical models and graphical representations, MBSE supports a systematic unified description and analysis, shifting the paradigm from document-driven to model-driven. This approach enhances traceability, testability, and verifiability. This paper has comprehensively analysed MBSE practices from four perspectives: time, logic, knowledge, and organization, thus empowering engineers to better understand and apply MBSE in real-world engineering projects.
    Related Articles | Metrics | Comments0
    Mechanism of mitochondrial autophagy in myocardial ischemia-reperfusion injury
    GAO Yue, XING Shifeng
    Journal of Internal Medicine Concepts & Practice    2024, 19 (05): 328-332.   DOI: 10.16138/j.1673-6087.2024.05.08
    Abstract517)   HTML8)    PDF(pc) (828KB)(1121)       Save

    Cardiovascular disease is still one of the most common causes of death in the world. In the past, timely reperfusion treatment has greatly reduced the death rate of the disease while promoting blood recovery and cardiomyocyte recovery. Ischemia reperfusion (IR) injury is an inevitable pathological process in many clinical practices. The mechanisms of myocardial IR injury include a variety of pathological processes such as mitochondrial autophagy and apoptosis, and these signaling pathways are interrelated and act on each other. Among them, mitochondrial autophagy has attracted wide attention as a selective autophagy. Mitochondrial autophagy maintains the normal operation of cardiomyocytes by regulating the quality and quantity of mitochondria. However, as stimulated by oxidative stress, ischemia and hypoxia, excessive mitochondrial autophagy or insufficient mitochondrial autophagy can affect the function of cardiomyocytes and even lead to the death of cardiomyocytes. Therefore, the activation degree of mitochondrial autophagy in cardiomyocytes should be strictly controlled. This article reviews the mechanism and progress of mitochondrial autophagy in myocardial IR injury, aiming to provide some assistance in the study of myocardial IR injury.

    Reference | Related Articles | Metrics | Comments0
    Knowledge Analysis of Roy’s Sinological Translation: A Case Study on the Complete Translation of Jin Ping Mei
    SHI Yun
    Contemporary Foreign Languages Studies    2024, 24 (6): 89-102.   DOI: 10.3969/j.issn.1674-8921.2024.06.008
    Abstract311)   HTML2)    PDF(pc) (1645KB)(1105)       Save

    Research on the Sinologist David Roy has primarily centered on the textual interpretation of his translation, often overlooking the sinological knowledge that influenced his choice of the original Jin Ping Mei. Besides, there are research gaps in understanding the broader context of his sinological translation. This article seeks to examine the translator’s deep motivations through an epistemological lens. It reveals that the previous knowledge circulation of Jin Ping Mei in the Anglophone world is a key factor in shaping Roy’s sinological research. Through multiple interactions with the author, the original text and critics, Roy developed his sinological knowledge of Jin Ping Mei. To reconstruct the original work’s full knowledge system within the broader field of world literature, Roy meticulously traces its sources, translates it word for word, and provides detailed footnotes. In doing so, he preserves the spirit of the original work to the greatest extent and offers a model of thick translation for classical Chinese literature.

    Reference | Related Articles | Metrics | Comments0
    Frequency-Domain Modeling and Synchronization Perspective Interaction Mechanism of GFL-GFM Converter System
    ZONG Haoxiang, ZHANG Chen, BAO Yanhong, WU Feng, CAI Xu
    Journal of Shanghai Jiao Tong University    2025, 59 (2): 151-164.   DOI: 10.16183/j.cnki.jsjtu.2023.231
    Abstract711)   HTML21)    PDF(pc) (4555KB)(1099)       Save

    Aimed at the small-signal synchronization instability of grid-following (GFL) and grid-forming (GFM) converter system, a synchronization perspective frequency-domain modeling and analysis method is proposed, which can intuitively reveal mechanism and accurately judge multi-machine stability. Specifically, a node admittance matrix considering GFL, GFM converters, and the transmission network is established. Then, the frequency domain modal analysis (FMA) method is adopted to evaluate system instability characteristics. Afterwards, synchronization forward and feedback paths are partitioned at the oscillation source to formulate a synchronization perspective stability model incorporating dynamics of each converter and transmission network. Finally, the proposed method is validated by using a typical two-machine GFL-GFM system. With such method, the stability judgment failure caused by the feedback path aggregation is addressed, and the interaction mechanism between GFL and GFM synchronization dynamics as well as their parameter influences are revealed.

    Table and Figures | Reference | Related Articles | Metrics | Comments0
    #br#
    Journal of Tissue Engineering and Reconstructive Surgery    2024, 20 (6): 702-.  
    Abstract187)      PDF(pc) (1165KB)(1074)       Save
    Distal arthrogryposis represents a group of congenital malformations with genetic factors, and distal arthrogryposis type 9 is attributed to mutations in the FBN2 gene. Differing from other subtypes where muscular tissues are affected,FBN2 gene mutation primarily impacts the embryonic development of connective tissues, giving rise to distinctive clinical phenotypes. To date, the specific pathogenic mechanisms of this condition remain elusive. In this paper, the recent research progress of distal arthrogryposis type 9 was reviewed, aiming to enhance our understanding of the disease. With the advancement and widespread use of sequencing technologies, the potential discovery of additional mutation loci and patient cohorts holds promise for elucidating genotype-phenotype correlations. Furthermore, there is a pressing need to promote the development of appropriate cellular and animal models to further elucidate its pathogenic mechanisms, offering novel avenues for disease diagnosis and therapeutic interventions.
    Related Articles | Metrics | Comments0
    Overview of the Development and Design of Dynamic Cable for Floating Offshore Wind Power in China
    LIN Zeyin, WANG Yibing, LI Dongsheng
    Ocean Engineering Equipment and Technology    2024, 11 (4): 41-46.   DOI: 10.12087/oeet.2095-7297.2024.04.07
    Abstract333)      PDF(pc) (2023KB)(1058)       Save
    In recent years, the global offshore wind power has developed rapidly. As nearshore resources become increasingly scarce, offshore wind power has gradually moved to the deeper sea. To accommodate the dynamic characteristics of floating wind turbines, floating platforms must be supported by dynamic cables. This is a comprehensive cable of transmitting electricity and control signals, with constantly changing position and force status, which can withstand the combined effect of wind, wave, current and other natural environment, to ensure the effective transmission of power and monitoring signals. Compared with foreign industries, Chinas dynamic cable industry started later, with the harsh working conditions and the lack of relevant technology. All these factors restrict the progress of the dynamic cable industry. This paper will provide a detailed introduction to the basic principles, current development status, key technologies, and challenges faced by floating wind turbine dynamic cables, summarizing the latest industry information and technology to support the development of Chinas dynamic cable industry.
    Related Articles | Metrics | Comments0
    A Transformer-Based Diffusion Model for All-in-One Weather-Degraded Image Restoration
    QIN Jing, WEN Yuanbo, GAO Tao, LIU Yao
    Journal of Shanghai Jiao Tong University    2024, 58 (10): 1606-1617.   DOI: 10.16183/j.cnki.jsjtu.2023.043
    Abstract1067)   HTML13)    PDF(pc) (62692KB)(1042)       Save

    Image restoration under adverse weather conditions is of great significance for the subsequent advanced computer vision tasks. However, most existing image restoration algorithms only remove single weather degradation, and few studies has been conducted on all-in-one weather-degraded image restoration. The denoising diffusion probability model is combined with Vision Transformer to propose a Transformer-based diffusion model for all-in-one weather-degraded image restoration. First, the weather-degraded image is utilized as the condition to guide the reverse sampling of diffusion model and generate corresponding clean background image. Then, the subspace transposed Transformer for noise estimation (NE-STT) is proposed, which utilizes the degraded image and the noisy state to estimate noise distribution, including the subspace transposed self-attention (STSA) mechanism and a dual grouped gated feed-forward network (DGGFFN). The STSA adopts subspace transformation coefficient to effectively capture global long-range dependencies while significantly reducing computational burden. The DGGFFN employs the dual grouped gated mechanism to enhance the nonlinear characterization ability of feed-forward network. The experimental results show that in comparison with the recently developed algorithms, such as All-in-One and TransWeather, the method proposed obtains a performance gain of 3.68 and 3.08 dB in average peak signal-to-noise ratio while 2.93% and 3.13% in average structural similarity on 5 weather-degraded datasets.

    Table and Figures | Reference | Related Articles | Metrics | Comments0
    Research and Development of High-Temperature Titanium Alloys for Hypersonic Aircraft
    CHEN Zhiyong
    Air & Space Defense    2024, 7 (6): 38-45.  
    Abstract2001)      PDF(pc) (1510KB)(1033)       Save
    High-temperature titanium alloys allow broad application prospects in hypersonic aircraft. They have ideal lightweight and heat-resistant metallic materials, enhancing the performance and reliability of hypersonic aircraft in extreme flight environments, thus achieving higher speeds and longer flight distances. Considering the services of thermal structures in China’s hypersonic aircraft, starting from the characteristics of high-temperature titanium alloys, this paper has reviewed the latest development status of high-temperature titanium alloys domestically and abroad. It focused on introducing China’s independent research, development and application of 550-650 °C high-temperature titanium alloys. To achieve higher operating temperature requirements, the research and development of a new 700-750 °C high-temperature titanium alloy Ti750S was proposed, and the respective application directions and prospects of high-temperature titanium alloys for future hypersonic aircraft were prospected.
    Related Articles | Metrics | Comments0
    Research and Development of High-Performance Magnesium Alloys for Aerospace Applications
    SU Yang, HAO Liang, LI Yangxin, ZENG Xiaoqin
    Air & Space Defense    2024, 7 (6): 1-11.  
    Abstract2687)      PDF(pc) (2081KB)(1014)       Save
    Magnesium alloys, currently recognized as the lightest structural metallic material in practical engineering applications, have broad prospects for application in the aerospace field, where lightweight demands are increasing. However, the three major bottleneck issues, “relatively low absolute strength”, “ weak deformation capacity”, and “insufficient corrosion resistance”, greatly limit the application scope of traditional magnesium alloys. Based on a review of the latest application status of magnesium alloys in the aerospace field, this paper has elaborated on the research progress of high-strength, tough, and corrosion-resistant magnesium alloys and prospected the development trends of high-performance magnesium alloys in future aerospace applications.
    Related Articles | Metrics | Comments0
    Fast Prediction for Roll Motion of a Damaged Ship Based on SVR
    LIU Han, SU Yan, ZHANG Guoqiang
    Journal of Shanghai Jiao Tong University    2025, 59 (7): 1041-1049.   DOI: 10.16183/j.cnki.jsjtu.2023.431
    Abstract223)   HTML2)    PDF(pc) (5899KB)(993)       Save

    ANSYS-AQWA is applied to analyze the rolling motion response of the damaged ship DTMB5415 under various working conditions. The results are compared with those in exiting literature to validate the practicality of the hydrodynamic model. Additionly, the rolling motion response database for the damaged ship is constructed. The support vector regression (SVR) algorithm is used to model the rolling motion database for identification, exploring the relationship between the operating condition factors and coefficients in the equation of roll motion. Finally, a fast prediction model for rolling motion is constructed and validated, offering a significant improvement in the prediction efficiency compared with traditional computational fluid dynamics models.

    Table and Figures | Reference | Related Articles | Metrics | Comments0